The Operation of Urban Water Treatment Plants: A Review of Smart Dashboard Frameworks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F23%3A00012544" target="_blank" >RIV/46747885:24620/23:00012544 - isvavai.cz</a>

Result on the web

<a href="https://journals.tultech.eu/index.php/eil/article/view/106" target="_blank" >https://journals.tultech.eu/index.php/eil/article/view/106</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15157/eil.2023.1.1.28-45" target="_blank" >10.15157/eil.2023.1.1.28-45</a>

Result language

angličtina

Original language name

The Operation of Urban Water Treatment Plants: A Review of Smart Dashboard Frameworks

Original language description

By locating useful characteristics and determining the perfect circumstances to meet ideal water quality criteria, this study seeks to improve the operation of a water treatment facility. The research comprises gathering data from personnel and exposure to system events, as well as from explicit and tacit knowledge sources. The problem at hand is a multi-objective, multi-criteria problem with many variables in spatial and temporal dimensions, requiring the use of powerful tools for analysis. All engineering problems have an objective function consisting of smaller sub-functions, typically in the form of cost or error minimization. To solve such problems, optimization methods based on natural patterns have been introduced, including genetic algorithms, evolutionary algorithms, and particle mass optimization. By optimizing the operation process of the water treatment plant, the quality of the water provided can be improved to meet standards set by organizations such as Iran 1053, WHO, and EPA. The study‘s findings could be used to implement changes to the plant‘s management and operation processes to achieve more ideal water quality conditions. Ultimately, the optimization of water treatment plant processes could have significant positive impacts on public health and well-being, as well as the environment.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

20101 - Civil engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Environmental Industry Letters :

ISSN

2806-2965

e-ISSN

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Volume of the periodical

1

Issue of the periodical within the volume

1

Country of publishing house

EE - ESTONIA

Number of pages

18

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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